0.14.1 initial dayglo

This commit is contained in:
2024-10-20 13:05:00 +11:00
parent b043cc5186
commit b5255e4996
12 changed files with 364 additions and 13 deletions
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FROM python:3.9-slim
# Install dependencies
RUN apt-get update && apt-get install -y \
libopencv-dev \
python3-opencv \
&& rm -rf /var/lib/apt/lists/*
# Install Python packages
RUN pip install --no-cache-dir \
paho-mqtt \
requests \
numpy
# Copy the dayglo detector script
COPY dayglo_detector.py /app/dayglo_detector.py
WORKDIR /app
CMD ["python", "dayglo_detector.py"]
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import os
import paho.mqtt.client as mqtt
import json
import requests
import cv2
import numpy as np
import threading
# Configuration from environment variables
MQTT_BROKER = os.environ.get('MQTT_BROKER', 'frigate')
MQTT_PORT = int(os.environ.get('MQTT_PORT', '1883'))
MQTT_USERNAME = os.environ.get('MQTT_USERNAME')
MQTT_PASSWORD = os.environ.get('MQTT_PASSWORD')
MQTT_TOPIC_SUBSCRIBE = 'frigate/events'
MQTT_TOPIC_PUBLISH = 'homeassistant/sensor/dayglo_rating/state'
FRIGATE_URL = os.environ.get('FRIGATE_URL', 'http://frigate:5000')
INTERESTED_ZONES = ['Door_Front']
def calculate_dayglo_rating(image):
hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
# Define HSV range for "dayglo" colors (adjust as needed)
lower_color = np.array([20, 100, 100])
upper_color = np.array([40, 255, 255])
# Create a mask for the colors
mask = cv2.inRange(hsv_image, lower_color, upper_color)
# Calculate the percentage of "dayglo" pixels
dayglo_pixels = cv2.countNonZero(mask)
total_pixels = image.shape[0] * image.shape[1]
dayglo_rating = (dayglo_pixels / total_pixels) * 100
return dayglo_rating
def on_connect(client, userdata, flags, rc):
print("Connected to MQTT broker")
client.subscribe(MQTT_TOPIC_SUBSCRIBE)
def on_message(client, userdata, msg):
payload = json.loads(msg.payload)
event_type = payload.get('type')
after = payload.get('after', {})
label = after.get('label')
if event_type == 'new' and label == 'person':
zones = after.get('entered_zones', [])
if any(zone in INTERESTED_ZONES for zone in zones):
threading.Thread(target=process_event, args=(after,)).start()
def process_event(event_data):
event_id = event_data.get('id')
camera = event_data.get('camera')
# Get the snapshot URL for the event
snapshot_url = f"{FRIGATE_URL}/api/events/{event_id}/snapshot.jpg"
# Retrieve the snapshot
response = requests.get(snapshot_url)
if response.status_code == 200:
np_arr = np.frombuffer(response.content, np.uint8)
image = cv2.imdecode(np_arr, cv2.IMREAD_COLOR)
if image is not None:
dayglo_rating = calculate_dayglo_rating(image)
print(f"Dayglo Rating: {dayglo_rating:.2f}%")
# Publish the rating to Home Assistant
client.publish(MQTT_TOPIC_PUBLISH, f"{dayglo_rating:.2f}")
else:
print("Failed to decode image")
else:
print(f"Failed to retrieve snapshot: {response.status_code}")
client = mqtt.Client()
if MQTT_USERNAME and MQTT_PASSWORD:
client.username_pw_set(MQTT_USERNAME, MQTT_PASSWORD)
client.on_connect = on_connect
client.on_message = on_message
client.connect(MQTT_BROKER, MQTT_PORT, 60)
client.loop_forever()
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dayglo_detector:
container_name: dayglo_detector
build:
context: ./dayglo_detector
restart: always
volumes:
- /etc/localtime:/etc/localtime:ro
environment:
MQTT_BROKER: 'frigate'
MQTT_PORT: '1883'
MQTT_USERNAME: 'your_mqtt_username' # Optional
MQTT_PASSWORD: 'your_mqtt_password' # Optional
FRIGATE_URL: 'http://frigate:5000'
INTERESTED_ZONES: 'Door_Front'
depends_on:
- frigate